Interactive notes for econometrics and causal inference
Open-access teaching notes with browser-based simulations for graduate econometrics and applied causal inference. Every page runs simulations live in your browser; no installs needed.
Probability, regression, MLE/GMM, Bayesian estimation, and the statistical foundations of modern ML.
Potential outcomes, identification strategies, modern treatment-effect estimators, and Bayesian + ML approaches to causal questions.
The spatial structure of cities: land rents and location choice, housing supply, agglomeration, local public goods, and gentrification.
Demand for health, insurance under asymmetric information, and how providers and policy shape medical care and outcomes.
The real economy, money and inflation, short-run fluctuations, and the open economy — with a live, in-browser simulation on every page.
Consumer choice and demand, markets and welfare, production and cost, and imperfect competition — each paired with an interactive demo.
Notes are drafted with AI assistance and reviewed for clarity against primary sources. Found something wrong, unclear, or missing? Leave feedback.